Development of a Machine Learning Classifier Based on Radiomic Features Extracted From Post-Contrast 3D T1-Weighted MR Images to Distinguish Glioblastoma From Solitary Brain MetastasisAlix de Causans(Inserm), Charlotte Robert(Inserm)Frontiers in OncologyJuly 13, 202110.3389/fonc.2021.638262Cited by 22SaveCiteExport RISWatch citationsRelated PapersPrediction of cervical cancer recurrence using textural features extracted from 18F-FDG PET images acquired with different scanners|Oncotarget|2017|123Clinical implementation of deep-learning based auto-contouring tools–Experience of three French radiotherapy centers|Cancer/Radiothérapie|2021|37